Goodness-of-fit tests for stationary distributions of Markov chains based on Rao's divergence

Abstract

Goodness-of-fit tests based on Rao's divergence between observed and theoretical frequencies for stationary distributions of Markov chains are considered. The asymptotic distribution of these tests under uniform hypothesis is obtained. A power comparison of the proposed tests is carried out in the case of binary Markov data.